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AI Insights · Timothy · October 2022

Top 5 Shopping Apps on iOS in Hungary: Q3 2022 Performance

Explore the Q3 2022 performance of the top 5 shopping apps on iOS in Hungary, featuring download and active user trends.

Top 5 Shopping Apps on iOS in Hungary: Q3 2022 Performance

In the third quarter of 2022, the top 5 shopping apps on iOS in Hungary showcased varied performance in terms of downloads and active users. Here’s a closer look at their trends:

Clubcard Tesco Magyarország saw a notable increase in weekly downloads, peaking at 12.1K in early August. Despite some fluctuations, the app maintained a strong presence with weekly downloads averaging around 7K to 8K towards the end of the quarter. Active users also showed a consistent upward trend, growing from 35.2K at the start of the quarter to approximately 60.9K by the end of September.

Mein dm had a mixed performance in downloads, starting strong with 9.4K in early July but experiencing a dip mid-quarter. However, it rebounded to an average of 5K to 6K weekly downloads in September. Active users increased steadily from 10.7K to 24.2K over the quarter, indicating a growing user base.

Lidl Plus exhibited a moderate but steady increase in weekly downloads, reaching up to 6.3K in mid-September. Throughout the quarter, the app maintained an average of 4K to 5K downloads per week. Active users remained relatively stable, fluctuating around the 53K to 60K mark, showing consistent engagement from its user base.

SHEIN - Shopping Online experienced a decline in weekly downloads, starting at 5.4K in late June and dropping to around 2.8K by the end of September. Despite this, the app managed to keep a significant number of active users, although there was a slight decrease from 101.7K to 80.3K throughout the quarter.

Rossmann, which launched in late June, saw its weekly downloads peak at 5.3K at the end of June but then decreased to approximately 1.7K by the end of September. Active users showed a gradual increase, growing from 11.1K to nearly 12K, suggesting a steady retention rate.

These insights are based on data from Sensor Tower, where more detailed analytics can be found.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: October 2022